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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Design Solutions for Organizational Complexity | 26% | - Design multi-account and multi-region architectures - Design for operational excellence and automation - Design for compliance and governance requirements - Design hybrid and multi-cloud networking |
| Topic 2: Design for New Solutions | 29% | - Design high-performing and scalable solutions - Design for reliability and fault tolerance - Design secure and resilient architectures - Design cost-optimized architectures |
| Topic 3: Accelerate Workload Migration and Modernization | 20% | - Modernize applications and data platforms - Migrate applications, data, and infrastructure - Integrate AWS services with existing systems - Develop migration strategies and plans |
| Topic 4: Continuous Improvement for Existing Solutions | 25% | - Refactor and modernize legacy applications - Apply security best practices and compliance updates - Optimize existing workloads for cost, performance, and security - Implement monitoring, logging, and observability |
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NEW QUESTION # 607
A company runs an loT platform on AWS loT sensors in various locations send data to the company's Node js API servers on Amazon EC2 instances running behind an Application Load Balancer The data is stored in an Amazon RDS MySQL DB instance that uses a 4 TB General Purpose SSD volume The number of sensors the company has deployed in the field has increased over time and is expected to grow significantly The API servers are consistently overloaded and RDS metrics show high write latency Which of the following steps together will resolve the issues permanently and enable growth as new sensors are provisioned, while keeping this platform cost-efficient? {Select TWO.)
Answer: D,E
Explanation:
Explanation
* Option C is correct because leveraging Amazon Kinesis Data Streams and AWS Lambda to ingest and process the raw data resolves the issues permanently and enable growth as new sensors are provisioned.
Amazon Kinesis Data Streams is a serverless streaming data service that simplifies the capture, processing, and storage of data streams at any scale. Kinesis Data Streams can handle any amount of streaming data and process data from hundreds of thousands of sources with very low latency. AWS Lambda is a serverless compute service that lets you run code without provisioning or managing servers.
Lambda can be triggered by Kinesis Data Streams events and process the data records in real time.
Lambda can also scale automatically based on the incoming data volume. By using Kinesis Data Streams and Lambda, the company can reduce the load on the API servers and improve the performance and scalability of the data ingestion and processing layer3
* Option E is correct because re-architecting the database tier to use Amazon DynamoDB instead of an RDS MySQL DB instance resolves the issues permanently and enable growth as new sensors are provisioned. Amazon DynamoDB is a fully managed key-value and document database that delivers single-digit millisecond performance at any scale. DynamoDB supports auto scaling, which automatically adjusts read and write capacity based on actual traffic patterns. DynamoDB also supports
* on-demand capacity mode, which instantly accommodates up to double the previous peak traffic on a table. By using DynamoDB instead of RDS MySQL DB instance, the company can eliminate high write latency and improve scalability and performance of the database tier.
References: 1: https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/ebs-volume-types.html 2:
https://docs.aws.amazon.com/AmazonRDS/latest/AuroraUserGuide/CHAP_AuroraOverview.html 3:
https://docs.aws.amazon.com/streams/latest/dev/introduction.html :
https://docs.aws.amazon.com/lambda/latest/dg/welcome.html :
https://docs.aws.amazon.com/xray/latest/devguide/aws-xray.html :
https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/Introduction.html :
NEW QUESTION # 608
A company has AWS accounts that are in an organization in AWS Organizations. The company wants to track Amazon EC2 usage as a metric. The company's architecture team must receive a daily alert if the EC2 usage is more than 10% higher than the average EC2 usage from the last 30 days.
Which solution will meet these requirements?
Answer: D
Explanation:
Explanation
AWS Cost Anomaly Detection is a feature of the AWS Cost Management suite that leverages machine learning to enable continuous monitoring of your AWS costs and usage, allowing you to identify unexpected and abnormal spending1. You can create cost monitors that evaluate specific AWS services, member accounts, cost allocation tags, or cost categories based on your AWS account structure2. You can also configure alert subscriptions that notify you when a cost monitor detects an anomaly that meets your threshold2. In this case, you can create a cost monitor with a monitor type of AWS Service and apply a filter of Amazon EC2 to track the EC2 usage as a metric. You can then configure an alert subscription to notify the architecture team if the usage is 10% more than the average usage for the last 30 days, which is the anomaly detection period used by AWS Cost Anomaly Detection3.
NEW QUESTION # 609
A company uses AWS Organizations with all features enabled to manage its accounts. The company has configured AWS Backup to run every 4 hours on several Amazon EFS mount points in the eu-west-2 Region. The backups are stored in the default vault. The company needs a disaster recovery (DR) plan that restores into the eu-west-1 Region and a specific recovery account. The backups must be encrypted at all times. Which solution will meet these requirements?
Answer: A
Explanation:
Option B effectively addresses the disaster recovery requirements:
Creating a new backup vault in both the source and recovery accounts allows for organized and secure storage of backups.
Using a multi-Region customer managed KMS key ensures that the backups are encrypted at all times and can be decrypted in the recovery account, maintaining data security during cross-account and cross-Region transfers.
Redirecting backups to the new backup vault in the source account and configuring a key policy to allow access from the recovery account facilitates seamless and secure backup copying.
Scheduling a cross-account backup plan enables automated and regular copying of backups to the recovery account, ensuring that the DR plan is consistently maintained.
This approach ensures that backups are securely and efficiently replicated to the recovery account in a different Region, aligning with the company's DR requirements.
NEW QUESTION # 610
A company is migrating a document processing workload to AWS. The company has updated many applications to natively use the Amazon S3 API to store, retrieve, and modify documents that a processing server generates at a rate of approximately 5 documents every second. After the document processing is finished, customers can download the documents directly from Amazon S3.
During the migration, the company discovered that it could not immediately update the processing server that generates many documents to support the S3 API. The server runs on Linux and requires fast local access to the files that the server generates and modifies. When the server finishes processing, the files must be available to the public for download within 30 minutes.
Which solution will meet these requirements with the LEAST amount of effort?
Answer: A
Explanation:
Explanation
The company should configure Amazon FSx for Lustre with an import and export policy. The company should link the new file system to an S3 bucket. The company should install the Lustre client and mount the document store to an Amazon EC2 instance by using NFS. This solution will meet the requirements with the least amount of effort because Amazon FSx for Lustre is a fully managed service that provides a high-performance file system optimized for fast processing of workloads such as machine learning, high performance computing, video processing, financial modeling, and electronic design automation1. Amazon FSx for Lustre can be linked to an S3 bucket and can import data from and export data to the bucket2. The import and export policy can be configured to automatically import new or changed objects from S3 and export new or changed files to S33. This will ensure that the files are available to the public for download within 30 minutes. Amazon FSx for Lustre supports NFS version 3.0 protocol for Linux clients.
The other options are not correct because:
* Migrating the application to an AWS Lambda function would require a lot of effort and may not be
* feasible for the existing server that generates many documents. Lambda functions have limitations on execution time, memory, disk space, and network bandwidth.
* Setting up an Amazon S3 File Gateway would not work because S3 File Gateway does not support write-back caching, which means that files written to the file share are uploaded to S3 immediately and are not available locally until they are downloaded again. This would not provide fast local access to the files that the server generates and modifies.
* Configuring AWS DataSync to connect to an Amazon EC2 instance would not meet the requirement of making the files available to the public for download within 30 minutes. DataSync is a service that transfers data between on-premises storage systems and AWS storage services over the internet or AWS Direct Connect. DataSync tasks can be scheduled to run at specific times or intervals, but they are not triggered by file changes.
References:
* https://aws.amazon.com/fsx/lustre/
* https://docs.aws.amazon.com/fsx/latest/LustreGuide/create-fs-linked-data-repo.html
* https://docs.aws.amazon.com/fsx/latest/LustreGuide/import-export-data-repositories.html
* https://docs.aws.amazon.com/fsx/latest/LustreGuide/mounting-on-premises.html
* https://docs.aws.amazon.com/lambda/latest/dg/gettingstarted-limits.html
* https://docs.aws.amazon.com/storagegateway/latest/userguide/StorageGatewayConcepts.html
* https://docs.aws.amazon.com/datasync/latest/userguide/what-is-datasync.html
NEW QUESTION # 611
An external audit of a company's serverless application reveals IAM policies that grant too many permissions.
These policies are attached to the company's AWS Lambda execution roles. Hundreds of the company's Lambda functions have broad access permissions, such as full access to Amazon S3 buckets and Amazon DynamoDB tables. The company wants each function to have only the minimum permissions that the function needs to complete its task.
A solutions architect must determine which permissions each Lambda function needs.
What should the solutions architect do to meet this requirement with the LEAST amount of effort?
Answer: D
Explanation:
Explanation
IAM Access Analyzer helps you identify the resources in your organization and accounts, such as Amazon S3 buckets or IAM roles, shared with an external entity. This lets you identify unintended access to your resources and data, which is a security risk. IAM Access Analyzer identifies resources shared with external principals by using logic-based reasoning to analyze the resource-based policies in your AWS environment.
https://docs.aws.amazon.com/IAM/latest/UserGuide/what-is-access-analyzer.html
NEW QUESTION # 612
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